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ORIGINAL RESEARCH

A Comprehensive Patient Blood Management Program During Cardiopulmonary Bypass in Patients Over 60 Years of Age

, , , , , & show all
Pages 401-410 | Received 10 Oct 2023, Accepted 14 Feb 2024, Published online: 06 Mar 2024

Figures & data

Figure 1 Flow chart of the study cohort.

Abbreviations: LVAD, left ventricular assist device; PBM, patient blood management.
Figure 1 Flow chart of the study cohort.

Table 1 Basic Characteristics Between Two Groups After Matching

Table 2 Transfusion Results and Clinical Outcomes After Matching

Figure 2 Effect of PBM on transfusion outcomes stratified by the age. Categorical variables reported as number (%).

Abbreviations: CI, confidence interval; CPB, cardiopulmonary bypass; OR, odds ratio; PBM, patient blood management; Pint, Pinteraction; RBC, red blood cell.
Figure 2 Effect of PBM on transfusion outcomes stratified by the age. Categorical variables reported as number (%).

Figure 3 Effect of PBM on clinical outcomes stratified by the age. (A) Categorical dependent variables, (B) continuous dependent variables. For all categorical dependent variables and all continuous dependent variables, independent variables involved in these multivariable models were the same, incorporated age (aged 60–74/over age 75), PBM (pre-PBM/post-PBM), age-by-PBM interaction term, sex, EuroSCORE, EF, previous myocardial infarction, hyperlipidemia, chronic lung disease, renal dysfunction, previous cardiac surgery, hematocrit, platelets, creatinine, surgery type, CPB time. Continuous dependent variables are reported as medians (25th percentile, 75th percentile), categorical dependent variables reported as number (%).

Abbreviations: CI, confidence interval; IABP, intra-aortic balloon pump; ICU, intensive care unit; MD, mean difference; OR, odds ratio; PBM, patient blood management; Pint, Pinteraction.
Figure 3 Effect of PBM on clinical outcomes stratified by the age. (A) Categorical dependent variables, (B) continuous dependent variables. For all categorical dependent variables and all continuous dependent variables, independent variables involved in these multivariable models were the same, incorporated age (aged 60–74/over age 75), PBM (pre-PBM/post-PBM), age-by-PBM interaction term, sex, EuroSCORE, EF, previous myocardial infarction, hyperlipidemia, chronic lung disease, renal dysfunction, previous cardiac surgery, hematocrit, platelets, creatinine, surgery type, CPB time. Continuous dependent variables are reported as medians (25th percentile, 75th percentile), categorical dependent variables reported as number (%).